Bioinformatics pertinent to lipid analysis in biological samples

Justin Ma, Ulises Arbelo, Yenifer Guerra, Katyayini Aribindi, Sanjoy K Bhattacharya, Daniel Pelaez

Research output: Contribution to journalArticle

Abstract

Electrospray ionization mass spectrometry has revolutionized the way lipids are studied. In this work, we present a tutorial for analyzing class-specific lipid spectra obtained from a triple quadrupole mass spectrometer. The open-source software MZmine 2.21 is used, coupled with LIPID MAPS databases. Here, we describe the steps for lipid identification, ratiometric quantification, and briefly address the differences to the analyses when using direct infusion versus tandem liquid chromatography–mass spectrometry (LC–MS). We also provide a tutorial and equations for quantification of lipid amounts using synthetic lipid standards and normalization to a protein amount.

Original languageEnglish (US)
Pages (from-to)141-147
Number of pages7
JournalMethods in Molecular Biology
Volume1609
DOIs
StatePublished - 2017

Fingerprint

Computational Biology
Lipids
Electrospray Ionization Mass Spectrometry
Spectrum Analysis
Software
Databases
Proteins

Keywords

  • Bioinformatic analysis
  • Lipid profile
  • Lipidomic analysis
  • MZmine 2.21
  • Ratiometric quantification
  • Standards

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Bioinformatics pertinent to lipid analysis in biological samples. / Ma, Justin; Arbelo, Ulises; Guerra, Yenifer; Aribindi, Katyayini; Bhattacharya, Sanjoy K; Pelaez, Daniel.

In: Methods in Molecular Biology, Vol. 1609, 2017, p. 141-147.

Research output: Contribution to journalArticle

Ma, Justin ; Arbelo, Ulises ; Guerra, Yenifer ; Aribindi, Katyayini ; Bhattacharya, Sanjoy K ; Pelaez, Daniel. / Bioinformatics pertinent to lipid analysis in biological samples. In: Methods in Molecular Biology. 2017 ; Vol. 1609. pp. 141-147.
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